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Rapid sequence optimization of spot welds for improved geometrical quality using a novel stepwise algorithm

ENGINEERING OPTIMIZATION 2021年第5期53卷 867-884页

作者： Sadeghi Tabar, Roham Warmefjord, Kristina Soderberg, Rikard Chalmers Univ Technol Dept Ind & Mat Sci Gothenburg Sweden

Joining sequence optimization is a combinatorial problem, requiring extensive computational time. The significance of determination of an optimal sequence for improved geometrical quality is substantial. Previously, genetic algorithms have been studied for defining the optimal sequence. However, these algorithms are highly dependent on the internal parameters, requiring additional computational analysis and thereby extended evaluation time. In this article, a novel robust stepwise algorithm is introduced to determine the optimal weld sequence. Application of the proposed algorithm leads to drastic time improvements for defining the optimal weld sequence of each assembly. Three industrial assemblies are evaluated. Comparison with the previously applied population-based optimization algorithms indicates that the optimization time can be reduced drastically with the proposed stepwise algorithm. The stepwise algorithm is intended to be applied in a geometry assurance digital twin, where the assembly parameters are being optimized for each individual assembly.

关键词： Joining sequence optimization deformation stepwise algorithm

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Effect of supercooling storage applied with stepwise algorithm for fishes(salmon and olive flounder)and its freshness during extended storage

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Food Bioscience 2022年第5期49卷 774-782页

作者： Dong Hyeon Park SangYoon Lee Yeong Mi Byeon Eun Jeong Kim Mi-Jung Choi Department of Food Science and Biotechnology of Animal Resources Konkuk UniversitySeoul05029South Korea Refrigerator Research of Engineering Division Home Appliance and Air Solution CompanyLG ElectronicsChangwon51533South Korea

Supercooling storage reduces the temperature of a product by lowering its freezing point without phase transition and may extend its shelf ***,it is difficult to maintain the supercooled state of food as it is thermodynamically metastable.A slow cooling rate and minimal fluctuation are essential for achieving stable supercooling ***,a stepwise algorithm was adopted for supercooling storage in this *** and olive flounder were stored at 3℃(refrigeration),􀀀18℃(freezing),and􀀀2℃(supercooling)for 12 *** were maintained in a supercooled state and unfrozen during the storage *** stored after the supercooling treatment were superior with respect to drip loss and water holding capacity(WHC)compared to frozen samples,regardless of the type of *** and total volatile basic nitrogen values of olive flounder was higher than those in salmon owing to the higher water and protein content in olive flounder than in ***,the supercooled samples inhibited the increase in trimethylamine and volatile basic nitrogen *** growth was ***,a stepwise algorithm for stable supercooled storage was achieved,which effectively preserved fish quality better than freezing and refrigeration storage.

关键词： Salmon Olive flounder Supercooling stepwise algorithm Freshness

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stepwise algorithm combining HPV high-risk DNA-based assays and RNA-based assay for high grade CIN in women with abnormal smears reffered to colposcopy

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CANCER BIOMARKERS 2010年第3期7卷 133-139页

作者： Halfon, Philippe Benmoura, Dominique Agostini, Aubert Khiri, Hacene Penaranda, Guillaume Martineau, Agnes Blanc, Bernard Lab Alphabio F-13006 Marseille France Hop Ambroise Pare Marseille France Hop Conception Marseille France CDL Pharma Marseille France

Background: The detection of high-risk human papillomavirus (HPV) DNA provides higher sensitivity but lower specificity than cytology for the identification of high-grade cervical intraepithelial neoplasia (CIN). Objectives: The aim of this study was to combine DNA-and RNA-based assays in order to improve the detection of advanced disease (CIN2+). Methods: 107 ASCUS+ women were included in Marseilles (France) between March 2007 and June 2008. Up to five tests were carried out on a liquid PreservCyt sample: Hybrid Capture 2 (HCII) (Digene), Papillocheck (Greiner), Abbott RealTime HR HPV (RT HR HPV) (Abbott), Linear Array (Roche), and EasyQ HPV (Biomerieux). Results: 36 (34%) women had CIN2+ histology;among them 6 (6%) had CIN3+ histology. For CIN2+ detection, all tests had comparable sensitivities except EasyQ HPV test: HCII 94%, Papillocheck and LA 92%, RT HR HPV 89%, and NucliSENS EasyQ HPV 75% (P not significant). On the other hand, EasyQ HPV had a higher specificity than the other assays (except RT HR HPV assay). Combining DNA-based and RNA-based assay would allow to reduce the need of colposcopies to be performed among patients HPV positive with DNA-based assay: 32% (7/22) colposcopies not needed in < 30 years old patients, and 29% (14/49) colposcopies not needed in >= 30 years patients. Conclusions: All tests had comparable diagnostic values for CIN2+ detection, but DNA-based tests seemed to be more sensitive and RNA-based assay more specific. The combined use of DNA-and RNA-based assays considerably reduces the number of colposcopies to be performed, and provides better diagnostic accuracy for CIN2+ disease.

关键词： DNA-based assays RNA-based assays colposcopy stepwise algorithm

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Effect of long-term supercooling preservation using a stepwise algorithm on the freshness of kimchi cabbage

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FOOD CONTROL 2024年 164卷

作者： Park, Dong Hyeon Kim, MinJi Park, Sung Jin Lee, Mi-Ai Choi, Yun-Jeong Choi, Mi-Jung Park, Sung Hee World Inst Kimchi Kimchi Ind Promot Div Pract Technol Res Grp Gwangju 61735 South Korea Sejong Univ Dept Hospitality Tourism & Culinary Seoul 05006 South Korea Konkuk Univ Dept Food Sci & Biotechnol Anim Resources Seoul 05029 South Korea

Kimchi cabbage is a Korean traditional fermented vegetable that is rich in nutrients and probiotics. Temperature changes caused microbial growth adversely affect the quality of kimchi. Therefore, controlling the preservation temperature is important to prevent over-fermentation of kimchi. Supercooling has emerged as an alternative storage method;however, maintaining the supercooled state of food is challenging. In this study, a stepwise cooling algorithm for supercooling preservation was developed and applied. All samples were maintained in a supercooled state, and no ice nucleation was detected. Assessments of CO2 content, pH, and titratable acidity revealed that supercooled samples exhibited more delayed fermentation than refrigerated samples. However, moisture content and hardness of the unfrozen (refrigerated and supercooled) samples were not significantly different. Microbial analysis and community composition indicated that the supercooling treatment delayed kimchi fermentation by approximately three months. Conclusively, supercooling is effective for maintaining the freshness of kimchi cabbage during long-term storage. This study contributes to the optimization of kimchi preservation strategies, offering potential benefits for both consumers and producers in terms of product quality, shelf life, and food safety.

关键词： Kimchi cabbage Supercooling stepwise algorithm Long-term storage Freshness

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Supercooling and stepwise algorithmic strategies for prolonged freshness and quality preservation in mustard leaf ( Brassica juncea ) kimchi

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LWT 2025年 224卷

作者： Dong Hyeon Park Mi-Jung Choi Mi-Ai Lee Sung Jin Park MinJi Kim Sung Hee Park Food Processing Research Group Food Convergence Research Division Korea Food Research Institute Jeollabuk-do 55365 Republic of Korea Department of Food Science and Biotechnology of Animal Resources Konkuk University Seoul 05029 Republic of Korea Practical Technology Research Group Kimchi Industry Promotion Division World Institute of Kimchi Gwangju 61735 Republic of Korea

Kimchi, a traditional Korean fermented dish, is rich in nutrients and probiotics. Its quality can be compromised by over-fermentation due to temperature fluctuations. Supercooling has been proposed as a method to preserve kimchi, but maintaining this state is challenging. This study used a stepwise cooling system to keep mustard leaf kimchi in a supercooled condition for up to 5 months. Analysis of CO 2 levels, pH, and titratable acidity showed slower fermentation in the supercooled samples compared to refrigerated ones. Notably, the pH of refrigerated samples decreased rapidly to about 4.5 and the titratable acidity increased to about 0.83 % at 5 months of storage. However, there were no significant differences in moisture content and texture between the supercooled and refrigerated samples. Microbial profiles and metabolic compounds revealed that supercooling preservation delayed fermentation by about 3 months. These results suggest that supercooling is an effective method for preserving mustard leaf kimchi, preventing quality degradation during long-term storage.

关键词： Mustard leaf kimchi Supercooling stepwise algorithm Quality Long-term preservation

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A Model for Slicing JAVA Programs Hierarchically

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Journal of Computer Science & Technology 2004年第6期19卷 848-858页

作者： Bi-XinLi Xiao-CongFan JunPang Jian-JunZhao DepartmentofComputerScienceandEngineering SoutheastUniversityNanjing210096P.R.China SchoolofInformationScienceandTechnology PENNSTATEUniversityParkPA16802U.S.A. CWI Kruislaan4131098SJAmsterdamNetherlands DepartmentofComputerScienceandEngineering FITFukuoka811-02Japan

Program slicing can be effectively used to debug, test, analyze, understand and maintain objectoriented software. In this paper, a new slicing model is proposed to slice Java programs based on their inherent hierarchical feature. The main idea of hierarchical slicing is to slice programs in a stepwise way, from package level, to class level, method level, and finally up to statement level. The stepwise slicing algorithm and the related graph reachability algorithms are presented, the architecture of the Java program Analyzing TOol (JATO) based on hierarchical slicing model is provided, the applications and a small case study are also discussed. Keywords software engineering - hierarchical model - program slicing - JAVA - stepwise algorithm - JATO This work is supported by the National Natural Science Foundation of China under Grant No.60473065 and the Outstanding Youth Teacher Support Foundation of Southeast University under Grant No.4009001011. Bi-Xin Li is a professor in Southeast University from Jan., 2004. He received the Ph.D. degree in computer software and theory from Nanjing University in 2001. From Apr. 2001 to Apr. 2002, he worked at TUCS (Turku Center for Computer Science) for one year as a post-doctoral researcher. From Apr. 2002 to Dec. 2003, he worked. at Department of Computer and Information Science, NTNU (Norwegian University of Science and Technology), and CWI (the Centrum voor Wiskunde en Informatica), both as an ERCIM Fellow. His current research interests include software construction, software testing, SQA techniques, software architecture and component techniques, safety-critical system and formal verification, etc. Xiao-Cong Fan is a senior researcher in the Inteligent Agent Lab of the Pennsylvania State University from 2002. He received the Ph.D. degree from Nanjing University in 1999. From 2000 to 2002, he worked at the turku Centre for Computer Science and the Computer Science Department of Abo Akademi University in Finland, where h

关键词： software engineering hierarchical model program slicing JAVA stepwise algorithm JATO

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A simple exploratory algorithm for the accurate and fast detection of spontaneous synaptic events

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BIOSENSORS & BIOELECTRONICS 2002年第9期17卷 773-782页

作者： Kudoh, SN Taguchi, T Natl Inst Adv Ind Sci & Technol Neuron Res Grp Special Div Human Life Technol Ikeda Osaka 5638577 Japan

We have developed a program for the fast and accurate detection of spontaneous synaptic events. The algorithm identifies each event of which the slope and amplitude which meet criteria. The significant feature of this algorithm is its stepwise and exploratory search for the onset and the peak points. During the first step, the program employing the algorithm makes a rough estimate of the candidate for a synaptic event, and determines a 'temporary' onset data point. The next step is the detection of the true onset data point and 'temporary' peak data point, which probably exist several points after the temporary onset data point. The third step is a backward search to detect the true peak data point. The final step is to check whether the amplitude of the detected event exceeds the threshold. This stepwise and shuttlewise search allows for the accurate detection of the peak points. Using this program, we succeeded in detecting an increased frequency and amplitude of spontaneous excitatory postsynaptic currents in chick cerebral neurons following the application of 12-O-tetradecanoyl-phorbol-13-acetate (TPA). In addition, we demonstrated that the program employing the algorithm was able to be used for the detection of extracellular action potentials. (C) 2002 Elsevier Science B.V. All rights reserved.

关键词： stepwise algorithm synaptic transmission computer softkware spontaneous synaptic currents automatic detection slope threshold

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Variable selection using support vector regression and random forests: A comparative study

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INTELLIGENT DATA ANALYSIS 2016年第1期20卷 83-104页

作者： Ben Ishak, Anis Univ Tunis ISGT BESTMOD LR99ES04 Le Bardo 2000 Tunisia

Variable selection is crucial for improving interpretation quality and forecasting accuracy. To this end, it is very interesting to choose an effective dimension reduction technique suitable for processing data according to their specificity and characteristics. In this paper, the problem of variable selection for linear and nonlinear regression is deeply investigated. The curse of dimensionality issue is also addressed. An intensive comparative study is performed between Support Vector Regression (SVR) and Random Forests (RF) for the purpose of variable importance assessment then for variable selection. The main contribution of this work is twofold: to expose some experimental insights about the efficiency of variable ranking and selection based on SVR and on RF, and to provide a benchmark study that helps researchers to choose the appropriate method for their data. Experiments on simulated and real-world datasets have been carried out. Results show that the SVR score. Ga is recommended for variable ranking in linear situations whereas the RF score is preferable in nonlinear cases. Moreover, we found that RF models are more efficient for selecting variables especially when used with an external score of importance.

关键词： Variable importance score variable selection support vector regression random forests nonlinearity stepwise algorithm curse of dimensionality selection bias

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Feature selection using Bayesian and multiclass Support Vector Machines approaches: Application to bank risk prediction

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EXPERT SYSTEMS WITH APPLICATIONS 2012年第3期39卷 3087-3099页

作者： Feki, Asma Ben Ishak, Anis Feki, Saber Univ Tunis Higher Inst Management Tunis BESTMOD Lab Bardo 2000 Tunisia S Univ Sfax Coll Econ & Management Sfax Sfax 3018 Tunisia Univ Houston Dept Comp Sci Houston TX 77004 USA

This paper presents methods of banks discrimination according to the rate of NonPerforming Loans (NPLs), using Gaussian Bayes models and different approaches of multiclass Support Vector Machines (SVM). This classification problem involves many irrelevant variables and comparatively few training instances. New variable selection strategies are proposed. They are based on Gaussian marginal densities for Bayesian models and ranking scores derived from multiclass SVM. The results on both toy data and real-life problem of banks classification demonstrate a significant improvement of prediction performance using only a few variables. Moreover, Support Vector Machines approaches are shown to be superior to Gaussian Bayes models. (C) 2011 Elsevier Ltd. All rights reserved.

关键词： Multiclass bank's risk Gaussian Bayes classifier Multiclass SVM Variable selection stepwise algorithm Risk factors

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Building a robust linear model with forward selection and stepwise procedures

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COMPUTATIONAL STATISTICS & DATA ANALYSIS 2007年第1期52卷 239-248页

作者： Khan, Jafar A. Van Aelst, Stefan Zamar, Ruben H. Univ British Columbia Dept Stat Vancouver BC V6T 1Z2 Canada Univ Ghent VIB Dept Appl Math & Comp Sci Ghent Belgium

Classical step-by-step algorithms, such as forward selection (FS) and stepwise (SW) methods, are computationally suitable, but yield poor results when the data contain outliers and other contaminations. Robust model selection procedures, on the other hand, are not computationally efficient or scalable to large dimensions, because they require the fitting of a large number of submodels. Robust and computationally efficient versions of FS and SW are proposed. Since FS and SW can be expressed in terms of sample correlations, simple robustifications are obtained by replacing these correlations by their robust counterparts. A pairwise approach is used to construct the robust correlation matrix-not only because of its computational advantages over the d-dimensional approach, but also because the pairwise approach is more consistent with the idea of step-by-step algorithms. The proposed robust methods have much better performance compared to standard FS and SW. Also, they are computationally very suitable and scalable to large high-dimensional data sets. (c) 2007 Elsevier B.V. All rights reserved.

关键词： stepwise algorithm computational complexity robust model selection pairwise robust correlation

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